Probing Families of Optical Soliton Solutions in Fractional Perturbed Radhakrishnan–Kundu–Lakshmanan Model with Improved Versions of Extended Direct Algebraic Method
Abstract
:1. Introduction
2. Method and Materials
- First, , ( can be written in many ways) is executed to turn (5) into a NODE of the form:
- We assume one of the following solutions for (6) based on the version of EDAM:
- (a)
- The following series form solution is suggested by the mEDAM:
- (b)
- While the r+mEDAM offers the subsequent solution:Here, it ought to be pointed out that presumes a value different from 0 and 1, whereas a, b, and c remain constant during the investigation.
- The positive integer symbolised as j in (7) and (8) is often referred to as the balance number. It is calculated by applying homogeneous balancing between the greatest nonlinear component in Equation (6) and the highest order derivative.
- Following that, we insert (7) or (8) into (6) or into the equation created by integrating (6), and we then compile all of the terms of that are in the same order and produce an expression in . A system of algebraic equations in and other parameters is produced by equating all the coefficients of the expression to zero using the concept of comparison of coefficients.
- We use the Maple programme for resolving this set of algebraic equations.
- The next step is to determine the coefficients and extra parameters, which we then include into Equation (7) or (8) along with the general solution of Equation (9), denoted as , in order to study the optical soliton solutions for Equation (5). We may produce several families of soliton solutions by using the general solution given in Equation (10), as shown below.
3. Results
3.1. Application of the mEDAM
3.2. Application of the r+mEDAM
4. Discussion and Graphs
5. Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Zayed, E.M.; Amer, Y.A.; Shohib, R.M. The fractional complex transformation for nonlinear fractional partial differential equations in the mathematical physics. J. Assoc. Arab. Univ. Basic Appl. Sci. 2016, 19, 59–69. [Google Scholar] [CrossRef] [Green Version]
- Sun, H.; Zhang, Y.; Baleanu, D.; Chen, W.; Chen, Y. A new collection of real world applications of fractional calculus in science and engineering. Commun. Nonlinear Sci. Numer. Simul. 2018, 64, 213–231. [Google Scholar] [CrossRef]
- Singh, J.; Kumar, D.; Kılıçman, A. Numerical solutions of nonlinear fractional partial differential equations arising in spatial diffusion of biological populations. Abstr. Appl. Anal. 2014, 2014, 535793. [Google Scholar] [CrossRef] [Green Version]
- Ara, A.; Khan, N.A.; Razzaq, O.A.; Hameed, T.; Raja, M.A.Z. Wavelets optimization method for evaluation of fractional partial differential equations: An application to financial modelling. Adv. Differ. Equ. 2018, 2018, 8. [Google Scholar] [CrossRef]
- Zhang, Y. A finite difference method for fractional partial differential equation. Appl. Math. Comput. 2009, 215, 524–529. [Google Scholar] [CrossRef]
- Ford, N.J.; Xiao, J.; Yan, Y. A finite element method for time fractional partial differential equations. Fract. Calc. Appl. Anal. 2011, 14, 454–474. [Google Scholar] [CrossRef] [Green Version]
- Abro, K.A.; Atangana, A. Dual fractional modeling of rate type fluid through non-local differentiation. Numer. Methods Partial. Differ. Equ. 2022, 38, 390–405. [Google Scholar] [CrossRef]
- Ziane, D.; Cherif, M.H. Variational iteration transform method for fractional differential equations. J. Interdiscip. Math. 2018, 21, 185–199. [Google Scholar] [CrossRef]
- Momani, S.; Odibat, Z. A novel method for nonlinear fractional partial differential equations: Combination of DTM and generalized Taylor’s formula. J. Comput. Appl. Math. 2008, 220, 85–95. [Google Scholar] [CrossRef]
- Khan, H.; Baleanu, D.; Kumam, P.; Al-Zaidy, J.F. Families of travelling waves solutions for fractional-order extended shallow water wave equations, using an innovative analytical method. IEEE Access 2019, 7, 107523–107532. [Google Scholar] [CrossRef]
- Zheng, B. Exp-function method for solving fractional partial differential equations. Sci. World J. 2013, 2013, 465723. [Google Scholar] [CrossRef] [Green Version]
- Manafian, J.; Foroutan, M. Application of tan(ϕ(ξ)/2)tan(ϕ(ξ)/2)-expansion method for the time-fractional Kuramoto–Sivashinsky equation. Opt. Quantum Electron. 2017, 49, 1–18. [Google Scholar] [CrossRef]
- Thabet, H.; Kendre, S. New modification of Adomian decomposition method for solving a system of nonlinear fractional partial differential equations. Int. J. Adv. Appl. Math. Mech 2019, 6, 1–13. [Google Scholar]
- Elagan, S.K.; Sayed, M.; Higazy, M. An analytical study on fractional partial differential equations by Laplace transform operator method. Int. J. Appl. Eng. Res. 2018, 13, 545–549. [Google Scholar]
- Younis, M.; Iftikhar, M. Computational examples of a class of fractional order nonlinear evolution equations using modified extended direct algebraic method. J. Comput. Methods Sci. Eng. 2015, 15, 359–365. [Google Scholar] [CrossRef]
- Mirhosseini-Alizamini, S.M.; Rezazadeh, H.; Srinivasa, K.; Bekir, A. New closed form solutions of the new coupled Konno–Oono equation using the new extended direct algebraic method. Pramana 2020, 94, 52. [Google Scholar] [CrossRef]
- Sulaiman, T.A.; Bulut, H.; Yel, G.; Atas, S.S. Optical solitons to the fractional perturbed Radhakrishnan–Kundu–Lakshmanan model. Opt. Quantum Electron. 2018, 50, 372. [Google Scholar] [CrossRef]
- Arshed, S.; Biswas, A.; Guggilla, P.; Alshomrani, A.S. Optical solitons for Radhakrishnan–Kundu–Lakshmanan equation with full nonlinearity. Phys. Lett. A 2020, 384, 126191. [Google Scholar] [CrossRef]
- Sulaiman, T.A.; Bulut, H. The solitary wave solutions to the fractional Radhakrishnan–Kundu–Lakshmanan model. Int. J. Mod. Phys. B 2019, 33, 1950370. [Google Scholar] [CrossRef]
- Kudryashov, N.A. Solitary waves of the generalized Radhakrishnan-Kundu-Lakshmanan equation with four powers of nonlinearity. Phys. Lett. A 2022, 448, 128327. [Google Scholar] [CrossRef]
- Guner, O.; Bekir, A. The Exp-function method for solving nonlinear space–time fractional differential equations in mathematical physics. J. Assoc. Arab. Univ. Basic Appl. Sci. 2017, 24, 277–282. [Google Scholar] [CrossRef] [Green Version]
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Yasmin, H.; Aljahdaly, N.H.; Saeed, A.M.; Shah, R. Probing Families of Optical Soliton Solutions in Fractional Perturbed Radhakrishnan–Kundu–Lakshmanan Model with Improved Versions of Extended Direct Algebraic Method. Fractal Fract. 2023, 7, 512. https://doi.org/10.3390/fractalfract7070512
Yasmin H, Aljahdaly NH, Saeed AM, Shah R. Probing Families of Optical Soliton Solutions in Fractional Perturbed Radhakrishnan–Kundu–Lakshmanan Model with Improved Versions of Extended Direct Algebraic Method. Fractal and Fractional. 2023; 7(7):512. https://doi.org/10.3390/fractalfract7070512
Chicago/Turabian StyleYasmin, Humaira, Noufe H. Aljahdaly, Abdulkafi Mohammed Saeed, and Rasool Shah. 2023. "Probing Families of Optical Soliton Solutions in Fractional Perturbed Radhakrishnan–Kundu–Lakshmanan Model with Improved Versions of Extended Direct Algebraic Method" Fractal and Fractional 7, no. 7: 512. https://doi.org/10.3390/fractalfract7070512